Modelling gross primary production in semi-arid Inner Mongolia using MODIS imagery and eddy covariance data

Abstract

Modelling gross primary production in semi-arid Inner Mongolia using MODIS imagery and eddy covariance data Ranjeet John a , Jiquan Chen a b , Asko Noormets c , Xiangming Xiao d , Jianye Xu a , Nan Lu e & Shiping Chen b a Department of Environmental Sciences, University of Toledo, Toledo, OH, 43606, USA b Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, People's Republic of China c Department of Forestry and Environmental Resources and Southern Global Change Program, North Carolina State University, Raleigh, NC, 27695, USA d Center for Spatial Analysis, Stephenson Research and Technology Center, University of Oklahoma, Norman, OK, 73019-5300, USA e Research Centre for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, People's Republic of China Version of record first published: 14 Jan 2013.

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Cite this paper

@inproceedings{John2013ModellingGP, title={Modelling gross primary production in semi-arid Inner Mongolia using MODIS imagery and eddy covariance data}, author={Ranjeet John and Jiquan Chen and Asko Noormets and Jianye Xu and Nan Lu and Shiping Chen and Ranjeet Johna and Jiquan Chena and Xiangming Xiaod and Jianye Xua and Nan Lue and Shiping Chenb}, year={2013} }